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The Social Sciences

ISSN: Online 1993-6125
ISSN: Print 1818-5800
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Geographical Analysis of the Urban Communitie’s Distribution in Ma’an Governorate using Geographic Information Systems

Ayed Mohammad Ayed Taran, Faisal Mnawer Shafi Al-Mayouf and Hamzeh Mohamed Hassan Bani Khaled
Page: 186-195 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This study aims to analyze the geographical distribution of urban communities in Ma’an Governorate (South of Jordan) and analyze their geographic locations and spread using Geographic Information Systems (GIS) techniques through spatial analysis tools available within GIS environment. The study adopted the descriptive approach to study the urban communities in the Governorate in terms of distribution and geographical spread as well as the spatial distribution of population on these localities. The analytical approach was used to determine the geographical area of the urban communities, to measure the geographical distribution density of the population and the nature of their spread, to reveal spatial patterns taken by the urban communities in the Governorate and the form of their spatial extension according to the population. The results showed that there is a convergence of the spatial mean and the spatial median according to the population in the urban communities. The spatial distribution pattern of the urban communities took the accumulated pattern through the application of the neighborhood Index. The Moran’s index indicates that the spatial distribution of urban communities has taken the random pattern according to its population. The results also showed that the actual weighted trend for the distribution of urban communities in the Governorate, depending on the number of population has taken a form elliptical direction extends Southeast and Northwest.


How to cite this article:

Ayed Mohammad Ayed Taran, Faisal Mnawer Shafi Al-Mayouf and Hamzeh Mohamed Hassan Bani Khaled. Geographical Analysis of the Urban Communitie’s Distribution in Ma’an Governorate using Geographic Information Systems.
DOI: https://doi.org/10.36478/sscience.2020.186.195
URL: https://www.makhillpublications.co/view-article/1818-5800/sscience.2020.186.195